Published September 1, 2013 | Version v1
Journal article

A flexible uncertainty quantification method for linearly coupled multi-physics systems

Description

Highlights: •We propose a "modularly hybrid" UQ methodology suitable for independent development of module-based multi-physics simulation. •Our algorithmic framework allows for each module to have its own UQ method (either intrusive or non-intrusive). •Information from each module is combined systematically to propagate "global uncertainty". •Our proposed approach can allow for easy swapping of new methods for any modules without the need to address incompatibilities. •We demonstrate the proposed framework on a practical application involving a multi-species reactive transport model. -- Abstract: This paper presents a novel approach to building an integrated uncertainty quantification (UQ) methodology suitable for modern-day component-based approach for multi-physics simulation development. Our "hybrid" UQ methodology supports independent development of the most suitable UQ method, intrusive or non-intrusive, for each physics module by providing an algorithmic framework to couple these "stochastic" modules for propagating "global" uncertainties. We address algorithmic and computational issues associated with the construction of this hybrid framework. We demonstrate the utility of such a framework on a practical application involving a linearly coupled multi-species reactive transport model

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2013.04.009

Additional details

Identifiers

DOI
10.1016/j.jcp.2013.04.009;
PII
S0021-9991(13)00258-1;

Publishing Information

Journal Title
Journal of Computational Physics
Journal Volume
248
Journal Page Range
p. 383-401
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45051873
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
CHAOS THEORY; ELECTRIC UTILITIES; GAS UTILITIES; POLYNOMIALS; SIMULATION; STOCHASTIC PROCESSES; TRANSPORT THEORY
Descriptors DEC
FUNCTIONS; MATHEMATICS; PUBLIC UTILITIES

Optional Information

Copyright
Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.